Southern Baltic sea level extremes: tide gauge data, historic storms and confidence intervals

Knowledge of extreme sea levels is important when planning housing developments and other infrastructure in coastal locations. The natural science basis of such plans are often return level-return period plots derived from tide gauge records that typically stretch from a few decades to a century. Coastal planners, however, often require return levels associated with return periods that are much longer than these tide gauge records in their planning. Moreover, return level estimates are known to be sensitive to outliers and can have significant biases. Here, we quantify different confidence intervals that are applicable to such return level estimates, and discuss their usability for coastal planning in the context of historic data from the Baltic Sea flood in 1872. Two types of commonly used confidence intervals are found to be too narrow to capture a plausible range that includes the 1872 Baltic Sea flood. A parametric bootstrapping method is then introduced, which gives a reasonable range even when this extreme flood is considered.

Publication Details

Journal
Boreal Environment Research Journal Archive
Published
2024-12-12
DOI
https://doi.org/10.60910/spn2-s2er
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Southern Baltic sea level extremes: tide gauge data, historic storms and confidence intervals

Boreal Environment Research Journal Archive
Flood Risk Assessment and Management
article

Southern Baltic sea level extremes: tide gauge data, historic storms and confidence intervals

article en

Abstract

Knowledge of extreme sea levels is important when planning housing developments and other infrastructure in coastal locations. The natural science basis of such plans are often return level-return period plots derived from tide gauge records that typically stretch from a few decades to a century. Coastal planners, however, often require return levels associated with return periods that are much longer than these tide gauge records in their planning. Moreover, return level estimates are known to be sensitive to outliers and can have significant biases. Here, we quantify different confidence intervals that are applicable to such return level estimates, and discuss their usability for coastal planning in the context of historic data from the Baltic Sea flood in 1872. Two types of commonly used confidence intervals are found to be too narrow to capture a plausible range that includes the 1872 Baltic Sea flood. A parametric bootstrapping method is then introduced, which gives a reasonable range even when this extreme flood is considered.

Boreal Environment Research Journal Archive
Sustainable cities and communities
Openalex Percentile: Top 71%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Southern Baltic sea level extremes: tide gauge data, historic storms and confidence intervals · Boreal Environment Research Journal Archive (2024) | TGRS Research Map | TGRS